1
|
Wynn MO. Beyond Competency: Developing Critical Digital Capabilities in Nursing Students Through Freirean Pedagogy. Nurs Inq 2025; 32:e70011. [PMID: 40077858 PMCID: PMC11903917 DOI: 10.1111/nin.70011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2025] [Revised: 02/28/2025] [Accepted: 03/04/2025] [Indexed: 03/14/2025]
Abstract
The digitalisation of healthcare is transforming nursing practice, presenting unique opportunities and challenges that demand more than technical competence from nursing professionals. Despite the growing integration of digital tools, nursing remains in the 'foothills of digital transformation', with significant gaps in the critical and theoretical frameworks required to navigate this shift effectively. This article explores how Paulo Freire's critical pedagogy may address these gaps by fostering critical digital skills in nursing students. Drawing on Freire's concepts of problem-posing education, conscientization, dialogue and praxis, the article proposes a pedagogical model that encourages students to critically examine the socio-political and ethical implications of digital tools within their practice. By aligning Freirean principles with contemporary nursing challenges, the article argues for a shift away from solely competency-based frameworks toward educational approaches that promote reflective, dialogical, and ethically informed engagement with technology. The limitations of Freirean pedagogy, including its difficulty in evidencing direct outcomes, are discussed alongside its potential to cultivate a philosophically engaged nursing workforce capable of navigating the complexities of a digital healthcare environment and its associated impact on the profession. This approach underscores the importance of preserving nursing's core ethical and relational values while embracing the transformative potential of digital technologies.
Collapse
Affiliation(s)
- Matthew Oliver Wynn
- School of Nursing and Advanced PracticeLiverpool John Moores UniversityLiverpoolEngland
| |
Collapse
|
2
|
Liu Y, Qiu S, Li H, Chen C, Yu R, Yuan S. Development and validation of the nurses' touch comfort evaluation scale in China. BMC Nurs 2025; 24:171. [PMID: 39953457 PMCID: PMC11827364 DOI: 10.1186/s12912-025-02804-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 02/04/2025] [Indexed: 02/17/2025] Open
Abstract
BACKGROUND Touch comfort refers to the level of comfort nurses feel internally when touching patients. Good touch comfort indicates that nurses feel very comfortable during such interactions. With the steady advancement of the "Healthy China" initiative, there is an increasing demand for humanistic care. Good touch comfort is a critical prerequisite for nurses to complete humanistic care measures efficiently. However, there is currently a lack of effective localized measurement tools to evaluate the touch comfort for Chinese nurses. This study aimed to develop a nurses' touch comfort evaluation scale suitable for Chinese nursing culture and to test its psychometric properties. METHODS The nurses' touch comfort evaluation scale was developed in three stages. In stage 1, a literature review and team discussions were used to create the initial item pool, followed by two rounds of expert consultations and a pre-survey to refine the items and form the initial scale. In Stage 2, a questionnaire survey was conducted with 231 nurses. Item analysis and exploratory factor analysis (EFA) were employed to optimize the items and explore the scale's structure, resulting in a predictive scale. In Stage 3, the performance of the scale was validated with a sample of 355 nurses, leading to the final version of the scale. Confirmatory factor analysis (CFA) and content validity were used to evaluate the scale's validity, while Cronbach's alpha coefficient, split-half reliability, and test-retest reliability were applied to assess its reliability. RESULTS The final scale comprises 4 dimensions (treatment task, physiological comfort, individualized assistance, and emotional support) with 35 items, accounting for 76.661% of the cumulative variance. The scale's Cronbach's alpha coefficient, split-half reliability, and test-retest reliability were 0.981, 0.927, and 0.886, respectively. Confirmatory factor analysis results indicated: standardized chi-square statistics(χ2/df) = 3.432, root mean square error of approximation (RMSEA) = 0.083, comparative fit index(CFI) = 0.911, incremental fit index(IFI) = 0.911, Tacker-Lewis index(TLI) = 0.902, parsimonious comparative fit index (PCFI) = 0.830, parsimony normed fit index(PNFI) = 0.801, combined reliability (CR) values ranged from 0.933 to 0.972, average variance extracted (AVE) values ranged from 0.671 to 0.780, and heterotrait-monotrait ratio (HTMT) values ranged from 0.780 to 0.886, indicating good construct validity. Both scale-level and item-level content validity were 1. CONCLUSION The nurses' touch comfort evaluation scale has acceptable reliability and validity, making it an effective tool for assessing the touch comfort of nurses in China.
Collapse
Affiliation(s)
- Yaohong Liu
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, 410008, China
- Xiangya Nursing School, Central South University, Changsha, 410013, China
| | - Sainan Qiu
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Hao Li
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Chong Chen
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Renhe Yu
- Xiangya School of Public Health, Central South University, Changsha, 410013, China
| | - Su'e Yuan
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Xiangya Nursing School, Central South University, Changsha, 410013, China.
| |
Collapse
|
3
|
Neitzke-Spruill L, Beit C, Averill LA, McGuire AL. Supportive Touch in Psychedelic Assisted Therapy. THE AMERICAN JOURNAL OF BIOETHICS : AJOB 2025; 25:29-39. [PMID: 39804300 DOI: 10.1080/15265161.2024.2433428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2025]
Abstract
In August 2024, The U.S. Food and Drug Administration rejected Lykos Therapeutics, Inc.'s new drug application for midomafetamine with psychological intervention (MDMA-AT) to treat post-traumatic stress disorder (PTSD). Among the many issues raised during review was concern about a highly publicized case of alleged sexual misconduct by an unlicensed therapist during a Phase 2 study of MDMA and the potential risk of future abuse. This incident of misconduct, along with several other publicized cases of misconduct by guides, facilitators, and shaman offering psychedelic retreats, has raised the question of whether physical contact is ever appropriate during psychedelic-assisted therapy (PAT). Drawing on research about supportive touch in other clinical contexts and taking into consideration features of psychedelics that exacerbate the potential for harm associated with supportive touch, we advocate for a precautionary approach to harm-reduction while arguing that supportive touch ought not be thrown out whole-cloth.
Collapse
Affiliation(s)
| | - Caroline Beit
- Baylor College of Medicine
- Johns Hopkins School of Medicine
| | | | | |
Collapse
|
4
|
Endres KH, Maurer GM. REVIVE Is an Evidence-Based Approach for Nurses to Universally Apply Trauma-Informed Care in Maternity Settings. Nurs Womens Health 2024; 28:485-491. [PMID: 39395813 DOI: 10.1016/j.nwh.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/24/2024] [Accepted: 09/11/2024] [Indexed: 10/14/2024]
Abstract
The principles of trauma-informed care-safety, compassion, collaboration, communication, autonomy, and empowerment-are also the domains most vulnerable to implicit bias and most cited in adverse outcomes in maternal health. Perinatal nurses can practice trauma-informed care universally and thereby foster and advance person-centered care for all individuals with respect to race, ethnicity, religion, or lived experiences. In this article, we present evidence-based nursing interventions, collectively called REVIVE, that are known to promote principles of trauma-informed care. Taken together, the REVIVE interventions may improve health outcomes and reduce disparities in maternal health outcomes because they are proactive nursing interventions independent of implicit bias. REVIVE is described here and intended for use by individual nurses or health care teams to implement and evaluate in different maternity settings.
Collapse
|
5
|
Artsi Y, Sorin V, Glicksberg BS, Nadkarni GN, Klang E. Advancing Clinical Practice: The Potential of Multimodal Technology in Modern Medicine. J Clin Med 2024; 13:6246. [PMID: 39458196 PMCID: PMC11508674 DOI: 10.3390/jcm13206246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Revised: 10/15/2024] [Accepted: 10/17/2024] [Indexed: 10/28/2024] Open
Abstract
Multimodal technology is poised to revolutionize clinical practice by integrating artificial intelligence with traditional diagnostic modalities. This evolution traces its roots from Hippocrates' humoral theory to the use of sophisticated AI-driven platforms that synthesize data across multiple sensory channels. The interplay between historical medical practices and modern technology challenges conventional patient-clinician interactions and redefines diagnostic accuracy. Highlighting applications from neurology to radiology, the potential of multimodal technology emerges, suggesting a future where AI not only supports but enhances human sensory inputs in medical diagnostics. This shift invites the medical community to navigate the ethical, practical, and technological changes reshaping the landscape of clinical medicine.
Collapse
Affiliation(s)
- Yaara Artsi
- Azrieli Faculty of Medicine, Bar-Ilan University, Zefat 1311502, Israel
| | - Vera Sorin
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA;
| | - Benjamin S. Glicksberg
- Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (B.S.G.); (G.N.N.); (E.K.)
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Girish N. Nadkarni
- Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (B.S.G.); (G.N.N.); (E.K.)
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eyal Klang
- Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (B.S.G.); (G.N.N.); (E.K.)
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| |
Collapse
|
6
|
Wynn M, Garwood-Cross L. Reassembling nursing in the digital age: An actor-network theory perspective. Nurs Inq 2024; 31:e12655. [PMID: 38941564 DOI: 10.1111/nin.12655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 06/10/2024] [Accepted: 06/11/2024] [Indexed: 06/30/2024]
Abstract
This article explores the application of actor-network theory (ANT) to the nursing profession, proposing a novel perspective in understanding nursing in the context of modern digital healthcare. Traditional grand nursing theories, while foundational, often fail to encapsulate the dynamic and complex nature of nursing, particularly in an era of rapid technological advancements and shifting societal dynamics. ANT, with its emphasis on the relationships between human and nonhuman actors, offers a framework to understand nursing beyond traditional paradigms. This article makes two key arguments: first, that nursing can be viewed as a highly organised social assemblage, where both human (nurses, patients and policymakers) and nonhuman actors (technologies, medical equipment, institutional policies) play a crucial role, and second, that ANT can be used to enhance existing nursing theory to better understand the role of technology in nursing practice. The article considers how ANT can provide a more holistic and adaptable model for describing the nursing profession, particularly in an era where technology plays an integral role in healthcare delivery. It discusses the implications of viewing nursing through ANT, highlighting the need for nursing education and practice to adapt to the interconnected and technologically advanced nature of modern healthcare. The article also acknowledges the limitations of ANT, particularly its potential oversimplification of the complex ethical dimensions inherent in nursing and its focus on observable phenomena.
Collapse
Affiliation(s)
- Matthew Wynn
- School of Health and Society, University of Salford, Salford, UK
| | | |
Collapse
|
7
|
Mitsuoka R, Kubota T, Sato S, Ogawa K. Semi-autonomous touch method merging robot's autonomous touch and user-operated touch for improving user experience in robot touch. Sci Rep 2024; 14:17667. [PMID: 39085343 PMCID: PMC11291646 DOI: 10.1038/s41598-024-67964-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 07/18/2024] [Indexed: 08/02/2024] Open
Abstract
The demand for therapeutic robots to alleviate mental health problems is growing. Studies have shown that people's mental health improves when they are touched. Consequently, therapeutic robots are designed to alleviate stress through robot's autonomous touch. However, robot's autonomous touch can sometimes cause discomfort to recipients. This paper proposes a semi-autonomous touch method that merges robot's autonomous touch with user-operated touch to mitigate discomfort while maintaining the sensation of being touched by another person. We conducted an experiment involving 24 participants who were touched on the neck by robots under three conditions: robot's autonomous touch, user-operated touch, and the proposed semi-autonomous touch method condition. Additionally, the study investigated participants' impressions of the robot in each condition. The results showed that semi-autonomous touch condition mitigated discomfort more effectively compared with the robot's autonomous touch method condition. It also enhanced the feeling of being touched by another person entity and suppressed interaction boredom compared with the user-operated touch method condition. Participants reported higher trustworthiness and perceived friendliness in robots utilizing the semi-autonomous touch method compared to those with autonomous touch method condition. These findings indicate that robots featuring the proposed semi-autonomous touch method can provide a comforting experience, leveraging the therapeutic benefits of being touched by another person, and underscore their potential in mental health applications.
Collapse
Affiliation(s)
- Ryoma Mitsuoka
- Department of Information and Communication Engineering, Nagoya University, Nagoya, Aichi, 464-8603, Japan.
| | - Tomonori Kubota
- Department of Information and Communication Engineering, Nagoya University, Nagoya, Aichi, 464-8603, Japan.
| | - Satoshi Sato
- Department of Information and Communication Engineering, Nagoya University, Nagoya, Aichi, 464-8603, Japan
| | - Kohei Ogawa
- Department of Information and Communication Engineering, Nagoya University, Nagoya, Aichi, 464-8603, Japan
| |
Collapse
|
8
|
Wynn M. The digital dilemma in nursing: a critique of care in the digital age. BRITISH JOURNAL OF NURSING (MARK ALLEN PUBLISHING) 2024; 33:496-499. [PMID: 38850140 DOI: 10.12968/bjon.2024.0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2024]
Abstract
There is an inherent tension between the nursing profession's empathetic, human-centric ethos and the impersonal nature of digital technology. However, digital solutions such as robot carers could offer convenience, dignity and reduced feelings of burden, so there is potentially a significant misalignment between nursing concepts of care and contemporary patient needs. The notion of 'care' should be reconceptualised to include digital advancements, aligning practice with changing patient expectations and technological progress. A strategy to do this could involve a philosophical overhaul of nursing care models, integration of advanced patient-centric technologies, comprehensive education and training, collaborative development of nursing technologies, showcasing successful digital integration and policy advocacy for digital care models. This transformation is essential if nursing is to stay relevant and effective in the digital era, bridging the traditional care and modern healthcare needs while maintaining its core ethic of care.
Collapse
Affiliation(s)
- Matthew Wynn
- Lecturer in Digital Health and Society, School of Health and Society, University of Salford
| |
Collapse
|
9
|
Peate I. Digital age nursing: the reality. BRITISH JOURNAL OF NURSING (MARK ALLEN PUBLISHING) 2024; 33:55. [PMID: 38271048 DOI: 10.12968/bjon.2024.33.2.55] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Affiliation(s)
- Ian Peate
- Editor in Chief, British Journal of Nursing
| |
Collapse
|